[HTML][HTML] Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting
Rainfall forecasting has gained utmost research relevance in recent times due to its
complexities and persistent applications such as flood forecasting and monitoring of …
complexities and persistent applications such as flood forecasting and monitoring of …
Rainfall prediction using machine learning models: literature survey
Research on rainfall prediction contributes to different fields that have a huge impact on our
daily life. With the advancement of computer technology, machine learning has been …
daily life. With the advancement of computer technology, machine learning has been …
[HTML][HTML] Feature reduction for the classification of bruise damage to apple fruit using a contactless FT-NIR spectroscopy with machine learning
Spectroscopy data are useful for modelling biological systems such as predicting quality
parameters of horticultural products. However, using the wide spectrum of wavelengths is …
parameters of horticultural products. However, using the wide spectrum of wavelengths is …
[HTML][HTML] Model evaluation for forecasting traffic accident severity in rainy seasons using machine learning algorithms: Seoul city study
J Lee, T Yoon, S Kwon, J Lee - Applied Sciences, 2019 - mdpi.com
There have been numerous studies on traffic accidents and their severity, particularly in
relation to weather conditions and road geometry. In these studies, traditional statistical …
relation to weather conditions and road geometry. In these studies, traditional statistical …
Analyzing trend and forecast of rainfall and temperature in Valmiki Tiger Reserve, India, using non-parametric test and random forest machine learning algorithm
Assessment of spatiotemporal dynamics of meteorological variables and their forecast is
essential in the context of climate change. Such analysis can help suggest possible …
essential in the context of climate change. Such analysis can help suggest possible …
[HTML][HTML] A comprehensive review towards resilient rainfall forecasting models using artificial intelligence techniques
MA Saleh, HM Rasel, B Ray - Green Technologies and Sustainability, 2024 - Elsevier
Rainfall is one of the remarkable hydrologic variables that is directly connected to the
sustainable environment for any region over the globe. The present study aims to review …
sustainable environment for any region over the globe. The present study aims to review …
[HTML][HTML] Augmented data and xgboost improvement for sales forecasting in the large-scale retail sector
The organized large-scale retail sector has been gradually establishing itself around the
world, and has increased activities exponentially in the pandemic period. This modern sales …
world, and has increased activities exponentially in the pandemic period. This modern sales …
Method of rain attenuation prediction based on long–short term memory network
A Cornejo, S Landeros-Ayala, JM Matias… - Neural Processing …, 2022 - Springer
Rain attenuation events are one of the foremost drawbacks in satellite communications,
impairing satellite link availability. For this reason, it is necessary to foresee rain events to …
impairing satellite link availability. For this reason, it is necessary to foresee rain events to …
Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia
Probabilistic seasonal rainfall forecasting is of great importance for stakeholders such as
farmers and policymakers to assist in developing risk management strategies and to inform …
farmers and policymakers to assist in developing risk management strategies and to inform …
[HTML][HTML] Comparison of phenolic content and antioxidant activity for fermented and unfermented Rooibos samples extracted with water and methanol
Rooibos is brewed from the medicinal plant Aspalathus linearis. It has a well-established
wide spectrum of bio-activity properties, which in part may be attributed to the phenolic …
wide spectrum of bio-activity properties, which in part may be attributed to the phenolic …